Business-focused solution
AI Security & Data Governance
AI adoption can introduce new data flows, integrations and permissions. AOS helps organisations map AI use, assess security considerations and discuss controls that fit the organisation’s platforms and governance.
Discuss Your RequirementsThe business challenge
Why this matters
Employees may use AI services outside approved processes, while business applications and agents may connect to sensitive information. Security teams need visibility without blocking useful, properly governed work.
Potential business impact
Unclear AI data flows can create confidentiality, access, intellectual-property and operational risks. The actual risk depends on the model, service configuration, data handled, integrations and contractual terms.
Common warning signs
- •Teams cannot identify which AI tools are in use
- •Sensitive content may be entered into external services
- •AI applications have unclear permissions or owners
- •Agents connect to internal systems without a review
- •Policies do not explain approved use or escalation
AOS approach
A practical route from need to action
Start by identifying use cases, users, applications, data categories and system connections. Review identity, permissions, data handling, logging and third-party dependencies, then agree governance and technical safeguards before deployment or expansion.
How a solution may work
- 01Inventory approved and observed AI use cases
- 02Classify data and map model, application and agent access
- 03Review identity, permissions, connectors and policy controls
- 04Agree governance, monitoring and change approval steps
- 05Validate safeguards with appropriately scoped tests where available
Potential solution components
- AI usage and application inventory
- Data access, identity and permissions review
- Secure configuration and monitoring considerations
- AI agent and integration threat modelling
- AI red teaming as a separately scoped option where available
Technology options to consider
- Microsoft: security, identity and data-governance capabilities may apply to Microsoft AI environments, subject to current licensing and product documentation
- Check Point: authorised UK partner portfolio includes AI security categories; specific products and fit must be verified
- Netskope, Palo Alto Networks and specialist AI providers are unverified potential options, not confirmed AOS offerings
Only Check Point authorised UK partner status is confirmed. Other vendor references do not imply AOS authorisation, resale, product availability or a specific integration. Vendor selection and capabilities are verified against current documentation during scoping.
Explore Technology PartnersWho benefits
Suitable organisations
Useful for organisations introducing generative AI, embedding AI into customer-facing services or connecting AI tools to sensitive data and business applications.
Engagement options and boundaries
- • AI usage and security advice within agreed scope
- • AI red teaming is a potential assessment area, but availability, method and boundaries must be confirmed before commitment
- • No claim is made that named vendor tools support every AI use case
- • Legal, privacy and regulatory advice should be obtained from qualified advisers
Frequently asked questions
Can a browser control make all AI use safe?
No. Controls may help govern access, but safety also depends on data, identity, application design, policy, user behaviour and vendor terms.
Do you assess AI agents?
AI agent usage, permissions and integrations can be discussed and scoped. Any technical testing is subject to agreed access and confirmed delivery capability.
Can AI security stop data leakage?
No control can guarantee that. A combination of data classification, access controls, user guidance and platform safeguards can reduce specific risks.
Let’s start with your requirements.
Share the business problem and your current environment. Don’t include passwords or sensitive configurations.
Discuss this solution